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GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6375))

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Abstract

This paper demonstrates how CUDA-capable Graphics Processor Unit can be effectively used to accelerate a tracking algorithm based on adaptive appearance models. The object tracking is achieved by particle swarm optimization algorithm. Experimental results show that the GPU implementation of the algorithm exhibits a more than 40-fold speed-up over the CPU implementation.

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Author information

Authors and Affiliations

  1. Rzeszów University of Technology, W. Pola 2, 35-959, Rzeszów, Poland

    Boguslaw Rymut & Bogdan Kwolek

Authors
  1. Boguslaw Rymut
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  2. Bogdan Kwolek
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Institute of Computer Science, The Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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© 2010 Springer-Verlag Berlin Heidelberg

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Rymut, B., Kwolek, B. (2010). GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_28

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  • DOI: https://doi.org/10.1007/978-3-642-15907-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15906-0

  • Online ISBN: 978-3-642-15907-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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